Restaurant Brands International Stock Overlap Studies Midpoint Price over period

QSR Stock  USD 69.10  0.68  0.97%   
Restaurant Brands overlap studies tool provides the execution environment for running the Midpoint Price over period study and other technical functions against Restaurant Brands. Restaurant Brands value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Midpoint Price over period study function is designed to identify and follow existing trends. Restaurant Brands overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Mid-point Price over period is an average of Restaurant Brands highest and lowest prices attained during the given period.

Restaurant Brands Technical Analysis Modules

Most technical analysis of Restaurant Brands help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Restaurant from various momentum indicators to cycle indicators. When you analyze Restaurant charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Restaurant Brands Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Restaurant Brands International. We use our internally-developed statistical techniques to arrive at the intrinsic value of Restaurant Brands International based on widely used predictive technical indicators. In general, we focus on analyzing Restaurant Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Restaurant Brands's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Restaurant Brands's intrinsic value. In addition to deriving basic predictive indicators for Restaurant Brands, we also check how macroeconomic factors affect Restaurant Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2023 2024 (projected)
Dividend Yield0.05130.04060.029
Price To Sales Ratio3.283.475.2
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Restaurant Brands' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
68.5369.7871.03
Details
Intrinsic
Valuation
LowRealHigh
68.5169.7671.01
Details
Naive
Forecast
LowNextHigh
69.5270.7772.02
Details
32 Analysts
Consensus
LowTargetHigh
72.5179.6888.44
Details

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Additional Tools for Restaurant Stock Analysis

When running Restaurant Brands' price analysis, check to measure Restaurant Brands' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Restaurant Brands is operating at the current time. Most of Restaurant Brands' value examination focuses on studying past and present price action to predict the probability of Restaurant Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Restaurant Brands' price. Additionally, you may evaluate how the addition of Restaurant Brands to your portfolios can decrease your overall portfolio volatility.